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Test your portfolio before you invest.

Backtests with real prices and recurring investments, plus optimization, Monte Carlo, look-through and factor analysis. All in one tool, no spreadsheets.

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Beta with limited places: if none is free right now, you join the waitlist and get an email as soon as it's your turn.

Sample backtest

Sample data

$10,000 starting capital, three sample portfolios, 20 years.

A look inside the app.

This is what results look like in Portfolio Lab, here with made-up sample data. With an account you run the same analyses with real prices and your own portfolios.

BacktestHow deep did it fall?Decline from each previous high and how long the recovery took.
BacktestYear by yearCalendar years compared: where did the mix help, where did it cost return?
Monte CarloWill the money last?$100,000 in the 60/40 sample portfolio, 2,000 simulated paths: median with 25th–75th and 10th–90th percentiles.
Median25th–75th percentile10th–90th percentile
Look-throughWhat is inside your ETFs?Regions, sectors and the largest holdings, added up across all funds in your portfolio.

Five areas, 25 tools.

All tools work with the same data and settings. Pick an area to see what the tools can do.

What makes Portfolio Lab different.

202Long time series

Asset classes from country stock markets and bonds to reinsurance, some from 1926. Plus any ticker, converted into your base currency.

28Ready-made portfolios

Lazy portfolios from the three-fund portfolio to All Seasons, with US ETFs or with index funds going back to the 1980s.

13Asset classes in the look-through

Institutional taxonomy with regions, sectors, risk drivers and the largest holdings across all funds.

Get started in three steps.

1Create account

An email address and a password are all you need.

2Confirm your email

One click on the link in the email. Places are limited during the beta: if none is free right now, you join the waitlist and get an email as soon as it's your turn.

3Compare portfolios

Add ETFs by ticker or name, or load a template, on your computer and your phone, always in sync.

From the knowledge base.

Five articles to browse, reshuffled on every visit.

All articles
Return and risk

Deflated Sharpe ratio: PSR, DSR and minimum track record length

The deflated Sharpe ratio explained: standard error with skewness and kurtosis, probabilistic Sharpe ratio, minimum track record length and haircut, with a worked example.

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Markets and valuation

Market expectations: what the market is pricing in for rates

Market expectations from market prices: priced-in rate moves from forward rates, breakeven inflation, recession risk from the yield curve and distortion by risk premia.

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Portfolio and strategy

MSCI World vs ACWI vs FTSE All-World: the indices compared

MSCI World vs ACWI vs FTSE All-World: countries, holdings, US and tech weights from the factsheets, concentration via the Herfindahl index, Japan in 1989 and combinations.

Read more →
Portfolio and strategy

Home bias: why investors hold too many domestic stocks

Home bias explained: how much investors overweight their home market, what it costs in diversification, the reasons research gives and when a home tilt makes sense.

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Portfolio and strategy

Dollar-cost averaging: myth or real benefit of investing monthly?

Dollar-cost averaging explained: why investing a fixed amount buys at a lower average price, why that is still no extra return, and what research says about DCA vs. lump sum.

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Ready for your first backtest?

Create an account, confirm your email, get started. No ads and no subscription.

Base currency
US dollars, other currencies converted
Templates
Lazy portfolios with US ETFs and index funds
Data
Prices, interest rates, inflation and factors from public sources
Privacy
Servers in the EU, no ads, statistics without cookies
Devices
Computer and phone, everything saved in your account
Price
Free during the beta

All charts on this page show made-up sample data, not real prices. Not investment advice: results in Portfolio Lab are model calculations based on historical data and your inputs. Past performance is not a reliable indicator of future results.